Zai has released GLM-5.3, an open-weights model that builds on the GLM-5.2 base architecture through extensive post-training. The update delivers significant gains in complex coding and long-horizon tasks, establishing new state-of-the-art results on several public benchmarks.

  • Achieves a 50% improvement over GLM-5.2 on the Z.ai Code Bench and sets open-source SOTA on Terminal Bench 3.0 and Agents' Last Exam.
  • Demonstrates emergent cyber capabilities, reaching state of the art on CyberGym for vulnerability discovery and more than doubling GLM-5.2's performance on exploitation benchmarks.
  • Supports deployment via frameworks including SGLang, vLLM, TokenSpeed, Transformers, KTransformers, Unsloth, and Ascend NPU platforms.
  • Introduces a reasoning_effort parameter to control thinking budget with low, high, and max levels, defaulting to max.

The release provides developers with a highly capable open-source model for agentic engineering and complex software tasks.